NGS Read Coverage Calculator

Reverse-solve reads-per-sample, samples-per-run, runs-needed, and cost-per-sample for any sequencing project. Compare Illumina NovaSeq X / NextSeq 2000 / MiSeq, Element AVITI, Oxford Nanopore PromethION, and PacBio Revio side-by-side. Lander–Waterman math, runs entirely in your browser.

Lander–WatermanPlatform ComparisonClient-Side
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Load example NGS coverage data to see the full workflow

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Coverage Plan — Illumina NovaSeq X — 25B (2×150 PE)

Per sample

Reads / sample
320.0M
Yield / sample
96.00 Gb
Coverage
30×
Cost / sample
$192.00

Project totals — 10 samples

Samples / run
81
Runs needed
1
Total yield
960.00 Gb
Total cost
$1,920

Comparison across platforms (3.20 Gbp target, 30× coverage, 10 samples)

PlatformReads / sampleYield / sampleSamples / runRunsCost / sample
Illumina NovaSeq X — 25B (2×150 PE)320.0M96.00 Gb811$192.00
Illumina NovaSeq X — 10B (2×150 PE)320.0M96.00 Gb321$192.00
Illumina NovaSeq X — 1.5B (2×150 PE)320.0M96.00 Gb52$192.00
Illumina NextSeq 2000 — P3 (2×150 PE)320.0M96.00 Gb33$192.00
Illumina NextSeq 2000 — P2 (2×150 PE)320.0M96.00 Gb18$192.00
Illumina NextSeq 2000 — P1 (2×150 PE)320.0M96.00 Gb132$192.00
Illumina MiSeq — v3 (2×300 PE)160.0M96.00 Gb164$192.00
Illumina MiSeq — v2 (2×250 PE)192.0M96.00 Gb1128$192.00
Element AVITI — High Output (2×300 PE)160.0M96.00 Gb62$192.00
Element AVITI — High Output (2×150 PE)320.0M96.00 Gb34$192.00
Element AVITI — High Output (2×75 PE)640.0M96.00 Gb17$192.00
ONT PromethION — single R10.4.1 flow cell9.6M96.00 Gb17$192.00
PacBio Revio — single SMRT Cell HiFi5.3M96.00 Gb111$192.00

Cost-per-sample uses your single cost-per-Gb input across all platforms — adjust per platform for an accurate quote.

  • Plan reads-per-sample, samples-per-run, and runs-needed for any NGS project from genome size and target coverage
  • Compare Illumina, Element, ONT, and PacBio platforms side-by-side for the same project
  • Estimate cost-per-sample given a quoted cost-per-Gb from your core facility
  • Reverse-solve coverage from a fixed read budget (e.g. amplicon at 50k reads / sample, single-cell at 50k reads / cell)
  • Sanity-check whether a project will fit on a single run or needs to be split across runs

Don't use for

  • Variant-call sensitivity prediction — use a per-base power calculator (DeepVariant / GATK CalculateContamination) for low-AF detection
  • Modelling Poisson coverage tails or coverage-uniformity issues from capture / GC bias
  • Long-read assembly contig N50 prediction — depth alone does not predict assembly quality
  • Single-cell experiments where you need *per-cell* sensitivity at a specific gene — coverage on a transcriptome is the wrong abstraction

What is read coverage?

Read coverage (also called sequencing depth) is the average number of reads that overlap each base in your reference. A 30× whole-genome sequencing project means every base in the human genome is covered, on average, by 30 reads.

Coverage is the single most important budget knob in an NGS experiment: it sets sensitivity for variant calling, the noise floor for differential expression, and the floor for detecting low-frequency clones in tumor or microbial samples. Picking the right coverage — and the right number of samples — for your platform of choice is what this calculator is for.

The Lander–Waterman relation

For random shotgun sequencing, the expected coverage is:

C = L · N / G

where C is the average coverage depth, L is the effective read length per read or read pair, N is the number of reads (or read pairs), and G is the genome or target size in base pairs.

The relation reverses cleanly: N = C · G / L gives the reads required to hit a coverage target. Multiply by sample count and you have your project budget. Divide by reads-per-run and you have the number of runs.

Lander & Waterman (1988) derived this in the context of physical mapping; the formula carries over directly to sequencing because both processes are random sampling on a target.

Picking a platform

Population-scale WGS / large cohorts: Illumina NovaSeq X 25B is the default — ~8 Tb / run lets you multiplex dozens of human WGS samples per run at the lowest cost-per-sample on the market.
Mid-scale WGS / WES / RNA-Seq: NextSeq 2000 P3 (~360 Gb / run) is the workhorse for one-off projects of a few to a few dozen samples.
Targeted panels and amplicon work: MiSeq v2/v3 — small batches, fast turnaround, paired-end 2×300 for full V3-V4 16S amplicon coverage.
Cost-sensitive Illumina alternative: Element AVITI delivers similar 2×150 throughput to NextSeq 2000 P3 at competitive cost-per-Gb, with no Illumina lock-in.
Long reads (structural variants, full-length isoforms, de novo assembly): ONT PromethION (real-time, ~10 kb mean) or PacBio Revio (~18 kb HiFi at QV30+). These complement short reads — they are not a substitute when you need accurate variant calls.

Frequently Asked Questions